446 research outputs found
Structural, optical and nanomechanical properties of (1 1 1) oriented nanocrystalline ZnTe thin films
Structural, optical and nanomechanical properties of nanocrystalline Zinc Telluride (ZnTe) films
of thickness upto 10 microns deposited at room temperature on borosilicate glass substrates are reported.
X-ray diffraction patterns reveal that the films were preferentially oriented along the (1 1 1) direction.
The maximum refractive index of the films was 2.74 at a wavelength of 2000 nm. The optical band gap
showed strong thickness dependence. The average film hardness and Young’s modulus obtained from loaddisplacement
curves and analyzed by Oliver-Pharr method were 4 and 70 GPa respectively. Hardness of
(1 1 1) oriented ZnTe thin films exhibited almost 5 times higher value than bulk. The studies show clearly
that the hardness increases with decreasing indentation size, for indents between 30 and 300 nm in depth
indicating the existence of indentation size effect. The coefficient of friction for these films as obtained from
the nanoscratch test was ∼0.4.Financial support
in the form of fellowships to MSRNK and SK from the
ACRHEM project of DRDO is acknowledged
Plant Disease Detection in Image Processing Using MATLAB
For increasing growth and productivity of crop field, farmers need automatic monitoring of disease of plants instead of manual. Manual monitoring of disease do not give satisfactory result as naked eye observation is old method requires more time for disease recognition also need expert hence it is non effective. So in this paper, we introduced a modern technique to find out disease related to both leaf and fruit. To overcome disadvantages of traditional eye observing technique, we used digital image processing technique for fast and accurate disease detection of plant. In our proposed work, we developed k-means clustering algorithm with multi SVM algorithm in MATLAB software for disease identification and classification
Effect of Planned Early Recommended Ambulation Technique on Selected Post caesarean Biophysiological Health Parameters
Background: Caesarean section has been a part of
human culture since ancient times. It has been used
effectively throughout the 20th century and among the
major abdominal surgeries, it is the most common, oldest
worldwide surgery performed in obstetrics. Despite
the life saving advantages, there are several adverse
consequences of caesarean delivery for a woman and
to her household. The rate and risk of these complications
increases due to the increasing incidence mainly
in countries like India. The role of nurse midwife is to
act in the best interest of patient and newborn and make
the patient independent in carrying out the activities of
daily living as soon as possible. This can lead to a faster
recovery and shorter hospital stay. Also it can indirectly
help in reducing the complications associated with prolonged
bed rest and can improve the maternal newborn
bonding. Aim and Objectives: The present study
was done to evaluate the effect of planned early
ambulation on selected biophysiological health parameters
of post caesarean patients. Material and Methods:
The study included total 500 study subjects, 250
in experimental and 250 in control group. Quasi experimental
approach with multiple time series design
was adopted for the study. The experimental group was
given an early planned recommended ambulation technique
starting from the day of surgery. This consisted
of deep breathing exercise, cough exercise, leg exercise
and early mobilization. Over and above, the routine
general health care was given by the doctors and
nurses. The control group received only by routine general
care by doctors and nurses and mobilization on
third post operative day as per strategy adopted by the
hospital. The deep breathing exercises, coughing exercises
and leg exercises were not given routinely and
hence were not given to the control group. Post caesarean
biophysiological parameters chart was used to
assess the selected parameters for first five post operative
days. Result: The significant findings of the
study were that there was a significant difference in
the proportions of normal observations of selected
biophysiological health parameters like incisional pain,
condition of breast, condition of abdomen and peristaltic
movements of experimental group as compared to
that of control group. All these parameters improved
significant during first five post caesarean days at 0.05
level of significance. Thus the alternative hypothesis
was accepted and null hypothesis was rejected. From
the present study it could be concluded that the early
planned ambulation is an effective strategy for post
operative management of caesarean patient. It can help
in avoiding morbidity and can enhance the early recovery
of the patient
Towards a path integral for the pure-spin connection formulation of gravity
A proposal for the path-integral of pure-spin-connection formulation of
gravity is described, based on the two-form formulation of Capovilla et. al. It
is shown that the resulting effective-action for the spin-connection, upon
functional integration of the two-form field and the auxiliary matrix
field is {\it non-polynomial}, even for the case of vanishing
cosmological constant and absence of any matter couplings. Further, a
diagramatic evaluation is proposed for the contribution of the matrix-field to
the pure spin connection action.Comment: 8 pages in plain-TeX.-----IUCAA_TH/9
Ectopic Prostatic and Seminal Vesicle Tissue Confusing as Metastatic Adenocarcinoma
Ectopic prostatic tissue and seminal vesicle at pericolic fat is extremely rare. The nodules in the pericolic fat could raise a dilemma of metastatic deposits in cases of rectal adenocarcinoma. A 61 years old male underwent abdomino-perineal resection for rectal carcinoma. Nodules along with lymph nodes from pericolic fat were sampled to assess the spread. Histopathological and immunohistochemical staining of one nodule confirmed it to be the prostatic tissue while another nodule to be seminal vesicle. Seminal vesicle and prostatic heterotopia is significant in several respects, either symptomatic or asymptomatic, as the ectopic tissue can be endoscopically and histologically confused with malignancy of urinary or lower gastrointestinal system and may reflect divergent differentiation or a malformative process
Quantum circuit fidelity estimation using machine learning
The computational power of real-world quantum computers is limited by errors.
When using quantum computers to perform algorithms which cannot be efficiently
simulated classically, it is important to quantify the accuracy with which the
computation has been performed. In this work we introduce a
machine-learning-based technique to estimate the fidelity between the state
produced by a noisy quantum circuit and the target state corresponding to ideal
noise-free computation. Our machine learning model is trained in a supervised
manner, using smaller or simpler circuits for which the fidelity can be
estimated using other techniques like direct fidelity estimation and quantum
state tomography. We demonstrate that, for simulated random quantum circuits
with a realistic noise model, the trained model can predict the fidelities of
more complicated circuits for which such methods are infeasible. In particular,
we show the trained model may make predictions for circuits with higher degrees
of entanglement than were available in the training set, and that the model may
make predictions for non-Clifford circuits even when the training set included
only Clifford-reducible circuits. This empirical demonstration suggests
classical machine learning may be useful for making predictions about
beyond-classical quantum circuits for some non-trivial problems.Comment: 27 pages, 6 figure
An Auction Based TATKAL Scheme For Indian Railway
The Indian railways works on three trains local, passenger and express. Express trains require reservation of two types normal and TATKAL scheme, but these schemes works on the FCFS (First Come First Serve) basis. The project auction based TATKAL scheme uses bidding, admin decide the time then session will sta rts. The highest base price is decided depends on that passenger will bid the, each passenger having maximum five times bidding after session expires and the maximum bid times complete then passenger cant do bidding. This is useful to those passengers who having emergency and who can able to pay highest price for ticket. Depends on highest bid value tickets are allocated to the passenger. This paper security is provide d at the time user login OTP (One Time Password) is used
AZEBRA (Almost Zero Error Basepair-based Record Alert): A genomic clinical decision support system
The idea of the United States's Precision Medicine Initiative (PMI) was to allow providers (and patients) to leverage large amounts of information (including patient genomic data) in order to create actionable knowledge that increases patient well-being. To this end, we propose a system called AZEBRA; the acronym stands for Almost Zero Error Basepair-based Record Alerts. Zebra, in addition to being a well-known wild animal, is a common medical slang term for the clinician's fallacy of mistakenly corning to a rare and sometimes dire diagnosis (the rare zebra diagnosis) due to having missed more common causes of patient symptoms (the common horse diagnosis); conversely, patients with rare conditions would be better thought of as zebras and not horses. AZEBRA is intended to leverage the principles of genetically-enhanced precision medicine in order to alert clinicians to the presence of patients with five (four rare, one common) genetic pathologies that are ordinarily sources of unnecessary morbidity and mortality in clinical settings
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